code: def testWrongDimensions(self):
      # The matrix and right-hand sides should have the same number of rows.
      with self.session():
          matrix = constant_op.constant([[1.0, 0.0], [0.0, 1.0]])
          rhs = constant_op.constant([[1.0, 0.0]])
          with self.assertRaises(
              (ValueError, errors_impl.InvalidArgumentError)
          ):
              linalg_ops.matrix_solve_ls(matrix, rhs)
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the MatrixSolveLsOpTest obj's underlying member method code with example usage: obj.testWrongDimensions() without return types